Daniel R. Pérez

16.5k citations
220 papers · 11.5k indexed · 2 hit papers · h-index 57

Impact in

Papers in

Daniel R. Pérez

212 papers receiving 11.3k citations

Hit Papers

Universal primer set for the full-length amplification of all influenza A viruses 2001 · 1.7k citations
1.7k199920262008201750010001.5k

Peers

Daniel R. Pérez
Comparison fields: 5 of 127
  • Agronomy and Crop Science 4.8k
  • Epidemiology 9.6k
  • Infectious Diseases 4.3k
  • Immunology 2.3k
  • Animal Science and Zoology 992
Replace Kyoko Shinya with:
Kyoko Shinya Japan
Ted M. Ross United States
Zhigao Bu China
Shinji Watanabe Japan
David E. Wentworth United States
Thorsten Wolff Germany
Cornelis A. M. de Haan Netherlands
Elena A. Govorkova United States
Taisuke Horimoto Japan
Paul Digard United Kingdom
Daniel R. Pérez relative to Kyoko Shinya Japan Kyoko Shinya's profile →
Citations per field
00.5×
Kyoko Shinya · 1×
Citations per year

Countries citing papers authored by Daniel R. Pérez

Since Specialization
Citations

This map shows the geographic impact of Daniel R. Pérez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel R. Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Pérez more than expected).

Fields of papers citing papers by Daniel R. Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Pérez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel R. Pérez. The network helps show where Daniel R. Pérez may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel R. Pérez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel R. Pérez Line = papers co-authored together Daniel R. Pérez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20253
4 20242
5 20242
6 20241
7 20245
8 20239
9 202233
10 202213
11 202110
12 202014
13 20204
14 202026
15 202014
16 20194
17 201826
18 20169
19 2006258
20
Especialización crediticia y resultados en la banca europea
20033

About Daniel R. Pérez

Daniel R. Pérez is a scholar working on Agronomy and Crop Science, Epidemiology, Infectious Diseases, Animal Science and Zoology and Immunology, having authored 220 papers that have together received 11.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (184 papers), Animal Disease Management and Epidemiology (102 papers), Respiratory viral infections research (92 papers), Viral gastroenteritis research and epidemiology (36 papers), Immune Response and Inflammation (26 papers), Animal Virus Infections Studies (25 papers), Viral Infections and Vectors (21 papers) and RNA and protein synthesis mechanisms (15 papers). The work is most often cited by research in Agronomy and Crop Science (4.8k citations), Epidemiology (9.6k citations), Infectious Diseases (4.3k citations), Immunology (2.3k citations) and Animal Science and Zoology (992 citations). Daniel R. Pérez has collaborated with scholars based in United States, Argentina and China. Frequent co-authors include Robert G. Webster, Yi Guan, E. Hoffmann, Jürgen Stech, Hongquan Wan, Rubén O. Donis, Daniela S. Rajão, Erin M. Sorrell, Danielle Hickman and Haichen Song. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, Journal of General Virology and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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